Ealing District : Standard Industrial Classification (2007)

Standard Industrial Classification (2007)

Data cube chart.

Year A: Agriculture, forestry & fishing B: Mining & quarrying C: Manufacturing D: Electricity, gas, steam etc E: Water, sewerage & waste mgt F: Construction G: Wholesale & retail trade H: Transport & storage I: Accommodation & catering J: Information & communication K: Financial & insurance L: Real estate activities. M: Professional, scientific & technical N: Administrative & support O: Public administration & defence P: Education Q: Human health & social work R, S, T, U: Other services
1841 764 Show data context 2 Show data context 510 Show data context 1 Show data context 1 Show data context 172 Show data context 159 Show data context 93 Show data context 51 Show data context 1 Show data context 3 Show data context 8 Show data context 21 Show data context 140 Show data context 61 Show data context 49 Show data context 33 Show data context 873 Show data context
1861 1,420 Show data context 7 Show data context 1,934 Show data context 24 Show data context 14 Show data context 660 Show data context 635 Show data context 517 Show data context 361 Show data context 13 Show data context 18 Show data context 172 Show data context 132 Show data context 100 Show data context 358 Show data context 210 Show data context 135 Show data context 2,209 Show data context
1881 1,110 Show data context 17 Show data context 2,874 Show data context 106 Show data context 20 Show data context 2,050 Show data context 1,108 Show data context 1,335 Show data context 318 Show data context 59 Show data context 96 Show data context 55 Show data context 337 Show data context 553 Show data context 408 Show data context 481 Show data context 324 Show data context 5,562 Show data context
1911 1,391 Show data context 36 Show data context 12,751 Show data context 387 Show data context 142 Show data context 5,387 Show data context 7,988 Show data context 6,928 Show data context 1,377 Show data context 491 Show data context 1,437 Show data context 0 Show data context 1,344 Show data context 5,161 Show data context 2,903 Show data context 1,725 Show data context 1,280 Show data context 18,508 Show data context
1931 623 Show data context 54 Show data context 29,530 Show data context 1,561 Show data context 126 Show data context 8,350 Show data context 16,204 Show data context 10,385 Show data context 3,310 Show data context 480 Show data context 2,928 Show data context 521 Show data context 2,002 Show data context 27 Show data context 5,465 Show data context 2,411 Show data context 1,848 Show data context 14,141 Show data context
1951 176 Show data context 60 Show data context 74,507 Show data context 1,897 Show data context 54 Show data context 8,234 Show data context 16,358 Show data context 10,107 Show data context 5,000 Show data context 0 Show data context 2,259 Show data context 0 Show data context 1,086 Show data context 0 Show data context 6,463 Show data context 2,733 Show data context 2,936 Show data context 8,432 Show data context
1971 90 Show data context 20 Show data context 63,010 Show data context 1,200 Show data context 90 Show data context 10,100 Show data context 21,500 Show data context 8,630 Show data context 2,150 Show data context 4,970 Show data context 2,220 Show data context 390 Show data context 2,630 Show data context 1,530 Show data context 6,900 Show data context 7,130 Show data context 3,900 Show data context 4,670 Show data context
2011 70 Show data context 276 Show data context 7,753 Show data context 357 Show data context 667 Show data context 13,053 Show data context 23,686 Show data context 12,046 Show data context 11,110 Show data context 13,812 Show data context 6,724 Show data context 2,921 Show data context 14,572 Show data context 11,178 Show data context 6,238 Show data context 14,891 Show data context 16,071 Show data context 9,395 Show data context
2021 82 Show data context 234 Show data context 8,052 Show data context 559 Show data context 486 Show data context 15,670 Show data context 25,392 Show data context 11,955 Show data context 10,161 Show data context 14,089 Show data context 6,813 Show data context 3,513 Show data context 14,407 Show data context 11,708 Show data context 6,452 Show data context 15,998 Show data context 20,173 Show data context 9,372 Show data context
Date Source
1841 1841 Census of Great Britain, Occupations, Table [1] , 'Occupation Abstract'
1861 1861 Census of England and Wales, Ages, Table 17 , 'Occupations of Males aged 20 Years and upwards in Districts'
1881 Great Britain Historical GIS Project Computed from 1881 microdata
1911 1911 Census of England and Wales, Occupations Vol 1, Table 15 A, 'Grouped occupations of Males and Females aged 10 years and upwards, in Administrative Counties, County Boroughs, Metropolitan Boroughs, Urban Districts of which the population exceeded 5,000 persons, aggregates of other Urban Districts, and aggregates of Rural Districts; also proportion per 1,000 of unmarried, married, widowed, and of married and widowed women engaged in occupations, and proportion of female domestic servants to separate occupiers or families, 1911 - Males'
1931 1931 Census of England and Wales, Industry, Table 3 , 'Industries (condensed list) of Males and Females (exclusive of persons out of work)'
1951 1951 Census of England and Wales, Industry, Table 3 , 'Industries (Orders and Selected Units) and Status Aggregates. Occupied Males and Females aged 15 and over', for 'Urban Areas with population of less than 50,000, RD, NT'
1971 1971 Census of England and Wales, Economic activity County Leaflets, Table 3 , 'Industry and status by area of workplace and sex', for 'County, county boroughs, urban areas with populations of 50,000 or more, conurbation centres'
1991 Census of Population
2011 Office for National Statistics, NOMIS - Official Census and Labour Market Statistics (Table KS605UK - Industry)
2021 Office for National Statistics, ONS "Create a Custom Dataset" ("Industry (current)" (19 way))

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nCube definition


This classification of industry is that used by the 2021 Census, and forms the basic for our standardisation of historical information on industrial structure. The modern data are a classification of workers by their employers' business and count them by their place of work. However, before 1951 they are counted by place of residence, and before 1921 workers have to be classified by their individual occupations.


How to reference this page:

GB Historical GIS / University of Portsmouth, Ealing District through time | Historical Statistics on Industry | Standard Industrial Classification (2007), A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10104191/cube/INDUSTRY_GEN_2021

Date accessed: 04th June 2026